Search Results - "Kupinski, M"

Method for optimizing channelized quadratic observers for binary classification of large-dimensional image datasets by Kupinski, M K, Clarkson, E

“…We present a new method for computing optimized channels for channelized quadratic observers (CQO) that is feasible for high-dimensional image data. The method…”
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TU‐C‐103‐05: Image Quality and Dose Reduction Evaluation of a New CT Iterative Reconstruction Algorithm Using Model Observers by Tseng, H, Fan, J, Kupinski, M, Sainath, P, Hsieh, J

“…Purpose: To evaluate the impact on image quality of a new iterative reconstruction (IR) algorithm for CT systems and quantitate the amount of dose reduction by…”
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Automated seeded lesion segmentation on digital mammograms by Kupinski, M.A., Giger, M.L.

“…Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. The authors have developed two novel…”
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Ideal-observer performance under signal and background uncertainty by Park, S, Kupinski, M A, Clarkson, E, Barrett, H H

“…We use the performance of the Bayesian ideal observer as a figure of merit for hardware optimization because this observer makes optimal use of…”
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Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curves by Kupinski, M.A., Anastasio, M.A.

“…It is well understood that binary classifiers have two implicit objective functions (sensitivity and specificity) describing their performance. Traditional…”
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A Task-Based Approach to Adaptive and Multimodality Imaging by Clarkson, Eric, Kupinski, Matthew A., Barrett, Harrison H., Furenlid, Lars

“…Multimodality imaging is becoming increasingly important in medical imaging. Since the motivation for combining multiple imaging modalities is generally to…”
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Transformation of characteristic functionals through imaging systems by Clarkson, Eric, Kupinski, M, Barrett, H

“…We describe how to transfer the characteristic functional of an object model through a noisy, discrete imaging system to arrive at the characteristic function…”
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Efficient Method for Generating System Response Functions using Monte Carlo Simulations by Kupinski, M. A., Feng, Y., Ottensmeyer, M., Sabet, H., Furenlid, L. R.

“…We have developed and tested a new method for generating imaging system matrices using a GPU-based Monte Carlo (MC) simulation package. Traditional methods of…”
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4D (X,Y,Z,E) Event Parameter Estimation in a Hybrid Modular Gamma Camera by Doty, K. J., Kupinski, M. A., King, M. A., Kuo, P. H., Furenlid, L. R.

“…We are developing a 4D maximum-likelihood gamma-ray parameter-estimation algorithm that will be used for the hybrid modular gamma cameras designed for…”
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Experimental Characterization of Adaptive Multi-pinhole Apertures by May, M., Miller, B. W., Kupinski, M. A., King, M. A., Kuo, P. H., Furenlid, L. R.

“…We characterize a dynamic, multiple pinhole, single photon emission computed tomography (SPECT) aperture structure. These apertures are developed for a…”
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Analysis of ovarian tumors for the presence of human papillomavirus DNA by Quirk, Jeffrey T., Kupinski, John M., DiCioccio, Richard A.

“…Aim:  The role of human papillomavirus (HPV) infection in ovarian tumorigenesis is uncertain. The objective of this study was to screen a collection of ovarian…”
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Ideal observers and optimal ROC hypersurfaces in N-class classification by Edwards, D.C., Metz, C.E., Kupinski, M.A.

“…The likelihood ratio, or ideal observer, decision rule is known to be optimal for two-class classification tasks in the sense that it maximizes expected…”
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Ideal observer approximation using Bayesian classification neural networks by Kupinski, M.A., Edwards, D.C., Giger, M.L., Metz, C.E.

“…It is well understood that the optimal classification decision variable is the likelihood ratio or any monotonic transformation of the likelihood ratio. An…”
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Chronic infection, inflammation, and epithelial ovarian cancer by QUIRK, J. T, KUPINSKI, J. M

“…At the present time, the etiology of epithelial ovarian cancer is poorly understood. It has recently been recognized that certain chronic infectious agents may…”
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Detection of Mycoplasma Ribosomal DNA Sequences in Ovarian Tumors by Nested PCR by Quirk, Jeffrey T., Kupinski, John M., DiCioccio, Richard A.

“…Objective. The aim of this study was to investigate the reported association between mycoplasma infection and ovarian cancer by screening ovarian tumor tissues…”
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Interspecific mitochondrial DNA restriction fragment length polymorphisms in Aspergillus section Flavi by Quirk, Jeffrey T., Kupinski, John M.

“…Mitochondrial DNA restriction fragment length polymorphisms (RFLPs) are described for 64 isolates, representing 11 species of Aspergillus section Flavi…”
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Adaptive small-animal SPECT/CT by Furenlid, L.R., Moore, J.W., Freed, M., Kupinski, M.A., Clarkson, E., Liu, Z., Wilson, D.W., Woolfenden, J.M., Barrett, H.H.

“…We are exploring the concept of adaptive multimodality imaging, a form of non-linear optimization where the imaging configuration is automatically adjusted in…”
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Feature selection with limited datasets by Kupinski, Matthew A., Giger, Maryellen L.

“…Computer-aided diagnosis has the potential of increasing diagnostic accuracy by providing a second reading to radiologists. In many computerized schemes,…”
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Optimization and FROC analysis of rule-based detection schemes using a multiobjective approach by Anastasio, M.A., Kupinski, M.A., Nishikawa, R.M.

“…Computerized detection schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions that they initially…”
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SU‐F‐207‐16: CT Protocols Optimization Using Model Observer by Tseng, H, Fan, J, Kupinski, M

“…Purpose: To quantitatively evaluate the performance of different CT protocols using task‐based measures of image quality. This work studies the task of size…”
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